Style based tone mapping for HDR images

Date

2013-11-22

Author

Akyüz, Ahmet Oğuz
Aydınlılar, Merve
Bloch, Christian

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

134
views

0
downloads

In this paper we propose a different approach to high dynamic range (HDR) image tone mapping. We put away the assumption that there is a single optimal solution to tone mapping. We argue that tone mapping is inherently a personal process that is guided by the taste and preferences of the artist; different artists can produce different depictions of the same scene. However, most existing tone mapping operators (TMOs) compel the artists to produce similar renderings. Operators that give more freedom to artists require adjustment of many parameters which turns tone mapping into a laborious process. In contrast to these, we propose an algorithm which learns the taste and preferences of an artist from a small set of calibration images. Any new image is then tone mapped to convey the appearance that would be desired by the artist.

Subject Keywords

Artistic editing, Tone mapping, HDR imaging

URI

https://hdl.handle.net/11511/38284

DOI

https://doi.org/10.1145/2542355.2542384

Collections

Department of Computer Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Visual similarity for hdr images with applications to tone mapping Aydınlılar, Merve; Akyüz, Ahmet Oğuz; Tarı, Zehra Sibel; Department of Computer Engineering (2021-2-15) Assessing visual similarity between images is important for many computer vision applications. So far, investigations on visual similarity have been confined to low dynamic range images. However, recently, there is a growing interest to high dynamic range (HDR) imaging. In this thesis, the aim is to shed light on visual image similarity for HDR images by following an experimental approach. To this end, a user experiment is conducted through a novel web-based interface, in which the participants assess the p...
Color Preserving HDR Fusion for Dynamic Scenes Karadağ, Gökdeniz; Akyüz, Ahmet Oğuz (2012-06-01) We present a novel algorithm to efficiently generate high quality high dynamic range (HDR) images. Our method is based on the idea of expanding the dynamic range of a reference image at granularity of tiles. In each tile, we use data from a single exposure, but different tiles can come from different exposures. We show that this approach is not only efficient and robust against camera and object movement, but also improves the color quality of the resulting HDR images. We compare our method against the comm...
False color visualization for hdr images Akyüz, Ahmet Oğuz (null; 2013-04-10) Photographic visualization of high dynamic range (HDR) images on low dynamic range (LDR) displays, known as tone mapping, is a well-known problem. However, no well-defined method exist to visualize HDR images for the purpose of scene analysis and understanding. In this paper, we aim to fill this gap by first outlining a general framework that can be used to visualize HDR images using false (i.e. pseudo) colors based on pixel luminances. We then experiment with several simple false coloring functions that ca...
Privacy protection of tone-mapped HDR images using false colours ÇİFTÇİ, Serdar; Akyüz, Ahmet Oğuz; PİNHEİRO, Antonio M. G.; Ebrahimi, Touradj (2017-12-01) High dynamic range (HDR) imaging has been developed for improved visual representation by capturing a wide range of luminance values. Owing to its properties, HDR content might lead to a larger privacy intrusion, requiring new methods for privacy protection. Previously, false colours were proved to be effective for assuring privacy protection for low dynamic range (LDR) images. In this work, the reliability of false colours when used for privacy protection of HDR images represented by tone-mapping operators...
Noise reduction in high dynamic range imaging Akyüz, Ahmet Oğuz (Elsevier BV, 2007-10-01) A common method to create high dynamic range (HDR) images is to combine several different exposures of the same scene. In this approach, the use of higher ISO settings will reduce exposure times, and thereby the total capture time. This is advantageous in certain environments where it may help minimize ghosting artifacts. However, exposures taken at high sensitivity settings tend to be noisy, which is further amplified by the HDR creation algorithm. We present a robust and efficient technique to significant...

Citation Formats

A. O. Akyüz, M. Aydınlılar, and C. Bloch, “Style based tone mapping for HDR images,” 2013, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/38284.